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Machine learning model boosts success of liver transplants from circulatory death donors
There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...
A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...
IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...
The global AI in medical imaging market is expanding due to the growing incidence of chronic diseases such as cancer, cardiovascular, and neurological disorders, which heighten the need for precise ...
By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...
Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. The uptake of artificial intelligence (AI), computer vision and machine learning has been ...
News-Medical.Net on MSN
Machine learning advances human-centric drug toxicity prediction
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure.
Startup incubator Redesign Health and Mayo Clinic have hatched a new company called Corvus to ease the surgery referral ...
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